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Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect, or ETL Developer. Experience with Azure Data Factory, Azure Databricks, and Snowflake is highly preferred, but similar cloud technology experience will be considered.
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Development : Develop custom applications, scripts, and integrations using Oracle EPM tools such as Hyperion Planning, Essbase, Financial Management (HFM), Data Relationship Management (DRM), and Financial Data Quality Management Enterprise Edition (FDMEE.
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Other technologies used include Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus. Skills Required: JAVA, J2EE, Spring Boot, Spring MVC, RDMS data bases like (Oracle, Postgre SQL, SQL Server), File systems, Designing Large scale Applications and AWS.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Leading the architecture efforts & implementation of data platform on Snowflake, including data modeling, ETL/ELT processes, and data integration / dissemination / Data Sharing.
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Performing data review, including development of data quality indicators (DQIs) and eQAPPs, use of electronic data validation programs, and assessment of usability. Developing investigation approaches and project, data, and measurement quality objectives (i.
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Identification and documentation of process and data quality issues within target business processes, upstream data feeds, and client interface. · Experience with ETL tools assessing data quality and developing remediation plans.
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They operate a submarine’s sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. Sonar Technician, Submarine (STS) STSs specialize in underwater acoustic technologies.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Maintaining and enhancing our AWS cloud environment such as monitoring, optimization, automation, data maintenance, and security tooling. Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Solid understanding of Database Design Principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases, Big Data technologies, industry leading Cloud Storage solutions, Business Intelligence platforms, dashboards, data mining and visualization tools (Power BI.
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The role leads the US TA insights team across all aspects of identifying key business questions (KBQs), leading the development and execution of an Integrated Insights Plan (IIP) with its various components such as Primary Market Research (PMR), Forecasting (FC), Business Analytics (BA), data strategy, human insights (behavioral science-led) and Competitive Intelligence (CI) in collaboration with internal partners and external vendors.
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Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc. Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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7+ years of experience evaluating and working with HR vendors, ideally in the Workforce Planning and HR Analytics as well as data visualization tools to support sustainment and scalability of workforce planning programs.
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We are leaders in managing data using the latest cloud information management and big data technologies. High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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big data jobs Title: hadoop in Parsippany, NJ
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